Build and maintain reproducible pipelines to clean, harmonize, and integrate multi-modal data across waves and cohorts. * Integrate autonomic measures with neuroimaging and/or molecular data to probe mechanisms. * 2-5+ years of experience as a postdoctoral fellow and a PhD (or equivalent) in neuroscience, physiology, psychology, biomedical engineering, epidemiology, statistics, or a related field * Strong applied statistics, including methods for longitudinal / repeated-measures data (e.g., mixed-effects and growth-curve models, time-to-event, or related approaches). * Proficient programming and data-wrangling skills (e.g., R, Python) for building analysis pipelines on complex, multi-wave datasets. * Must have experience working with one or more of the following types of data: MRI, fMRI, EEG, heart rate variability, or proteomics. * Experience with proteomic data or other high-dimensional molecular datasets.
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